Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Movement of Residents Through Multilevel Lifetime Care Facilities: A Markovian Matrix Analysis

Movement of Residents Through Multilevel Lifetime Care Facilities: A Markovian Matrix Analysis Movement of residents through multilevel lifetime carefacilities is an integral partof the facility's operations and is of significant interestfrom afacility managementperspective. This article details how Markovian matrices can be used in theprediction and analysis processes. Based on an application of this process, itappears that Markovian matrices are a practical way to analyze and project themovement of residents through MLCFs. The projection results were accurate inover 90% of the cases. However, projections based on substate transitionalprobabilities made an almost imperceptible improvement in the overall projections. Primary limitations of the projections were the relatively high inaccuracyrate (15%) in projecting openings and the width of the range within which 80% ofobservation are expected to occur. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Applied Gerontology SAGE

Movement of Residents Through Multilevel Lifetime Care Facilities: A Markovian Matrix Analysis

Journal of Applied Gerontology , Volume 6 (3): 19 – Sep 1, 1987

Loading next page...
 
/lp/sage/movement-of-residents-through-multilevel-lifetime-care-facilities-a-rWJB6XcOwP

References (11)

Publisher
SAGE
Copyright
Copyright © by SAGE Publications
ISSN
0733-4648
eISSN
1552-4523
DOI
10.1177/073346488700600306
Publisher site
See Article on Publisher Site

Abstract

Movement of residents through multilevel lifetime carefacilities is an integral partof the facility's operations and is of significant interestfrom afacility managementperspective. This article details how Markovian matrices can be used in theprediction and analysis processes. Based on an application of this process, itappears that Markovian matrices are a practical way to analyze and project themovement of residents through MLCFs. The projection results were accurate inover 90% of the cases. However, projections based on substate transitionalprobabilities made an almost imperceptible improvement in the overall projections. Primary limitations of the projections were the relatively high inaccuracyrate (15%) in projecting openings and the width of the range within which 80% ofobservation are expected to occur.

Journal

Journal of Applied GerontologySAGE

Published: Sep 1, 1987

There are no references for this article.